Power Estimation in Mobile Communication Systems
dc.contributor.author | Gopal, Lenin | |
dc.contributor.author | Singh, Ashutosh | |
dc.contributor.author | Shanmugam, Veeramani | |
dc.date.accessioned | 2017-01-30T12:33:48Z | |
dc.date.available | 2017-01-30T12:33:48Z | |
dc.date.created | 2009-05-14T02:17:12Z | |
dc.date.issued | 2008 | |
dc.identifier.citation | Gopal, Lenin and Singh, Ashutosh Kumar and Shanmugan, Veeramani. 2008. Power Estimation in Mobile Communication Systems. Computer and Information Science. 1 (3): pp. 88-94. | |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/22825 | |
dc.description.abstract |
Accurate power estimation has an important role for power control and handoff decisions in mobile communications. Window based weighed sample average power estimators are commonly used due to their simplicity. In practice, the performances of these estimators degrade severely when the estimators are used in the presence of correlated samples. In this paper performances of the three local mean power estimators namely, sample average, optimum unbiased and maximum likelihood estimators, are analysed in the presence of correlated samples. The variance of the estimators is used as performance measures. Finally, the simulation results show that the performances of the optimum unbiased and maximum likelihood estimators are very good as compared to the performance of the sample average estimator. | |
dc.publisher | Canadian Center of Science and Education | |
dc.subject | mobile communications | |
dc.subject | local mean power | |
dc.subject | Power estimation | |
dc.subject | Rayleigh fading | |
dc.title | Power Estimation in Mobile Communication Systems | |
dc.type | Journal Article | |
dcterms.source.volume | 1 | |
dcterms.source.number | 3 | |
dcterms.source.startPage | 88 | |
dcterms.source.endPage | 94 | |
dcterms.source.issn | 1913-8989 | |
dcterms.source.title | Computer and Information Science | |
curtin.department | Curtin Sarawak - Faculty Office | |
curtin.accessStatus | Open access |